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» Layered Object Models for Image Segmentation
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ECCV
2002
Springer
15 years 11 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu
CVPR
2005
IEEE
15 years 11 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
CAIP
2007
Springer
143views Image Analysis» more  CAIP 2007»
15 years 4 months ago
A Level Set Bridging Force for the Segmentation of Dendritic Spines
The paper focusses on a group of segmentation problems dealing with 3D data sets showing thin objects that appear disconnected in the data due to partial volume effects or a large...
Karsten Rink, Klaus D. Tönnies
ICPR
2008
IEEE
15 years 11 months ago
Segmentation robust to the vignette effect for machine vision systems
The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In...
Dimosthenis Karatzas, Marçal Rusiñol...
MVA
1996
122views Computer Vision» more  MVA 1996»
14 years 11 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien